An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning
Conference paper
Attfield, S., Fields, B., Windridge, D. and Xu, K. 2019. An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning. Conrad, J., Pickens, J., Jones, A., Baron, J. and Henseler, H. (ed.) First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019).. Montreal, Canada 17 Jun 2019 CEUR Workshop Proceedings. pp. 7-11
Type | Conference paper |
---|---|
Title | An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning |
Authors | Attfield, S., Fields, B., Windridge, D. and Xu, K. |
Abstract | During legal investigations, analysts typically create external representations of an investigated domain as resource for cognitive offloading, reflection and collaboration. For investigations involving very large numbers of documents as evidence, creating such representations can be slow and costly, but essential. We believe that software tools, including interactive visualisation and machine learning, can be transformative in this arena, but that design must be predicated on an understanding of how such tools might support and enhance investigator cognition and team-based collaboration. In this paper, we propose an approach to this problem by: (a) allowing users to visually externalise their evolving mental models of an investigation domain in the form of thematically organized Anchored Narratives; and (b) using such narratives as a (more or less) tacit interface to cooperative, mixed initiative machine learning. We elaborate our approach through a discussion of representational forms significant to legal investigations and discuss the idea of linking such representations to machine learning. |
Conference | First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019). |
Page range | 7-11 |
Editors | Conrad, J., Pickens, J., Jones, A., Baron, J. and Henseler, H. |
ISSN | 1613-0073 |
Publisher | CEUR Workshop Proceedings |
Publication dates | |
17 Jun 2019 | |
Online | 01 Dec 2019 |
Publication process dates | |
Deposited | 07 Jan 2020 |
Accepted | 11 May 2019 |
Output status | Published |
Publisher's version | License |
Copyright Statement | Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Published at http://ceur-ws.org. |
Additional information | Volume: 2484 |
Web address (URL) | http://ceur-ws.org/Vol-2484/ |
Language | English |
Book title | Proceedings of the First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019). June 17, 2019. Montreal, QC, Canada |
https://repository.mdx.ac.uk/item/88v43
Download files
Restricted files
Accepted author manuscript
63
total views7
total downloads0
views this month0
downloads this month